In the 2024 academic year, just over 540 thousand students competed in NCAA sports across the United States. Male NCAA athletes made up approximately 56 percent of this athlete population, with a total of 306,843 male athletes competing in NCAA college sports in this year.

In the 2024 academic year, just over 540 thousand students competed in NCAA sports across the United States. White NCAA athletes made up just over 60 percent of this athlete population, with a total of 332,016 white athletes competing in NCAA college sports in this year.

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ABSTRACT: This article analyzes the Time Spent in School (TSS) of students-athletes of soccer, based on an adaptation of the model proposed by Neri (2009). The variable time was used to verify the investment of the student-athlete in this dual career. We conducted research with 62 student-athletes, aged 14 - 17, residing in a traditional Rio de Janeiro soccer club's accommodation. The data were obtained through a survey using a structured questionnaire, and analyzed by adapting the Neri (2009) methodological model to calculate the TSS. We observed that studies in the area of education and physical education suggest that the time dedicated to sports training competes with and damages the time dedicated to school. The results of our study suggest that the problem of student-athletes' reduction in TSS is caused by non-compliance and flexibility in school rules on the part of the school institution itself.

Historical Dataset of Student Athlete Headquarters High School is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2019-2023),Total Classroom Teachers Trends Over Years (2019-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (2019-2023),American Indian Student Percentage Comparison Over Years (2019-2023),Hispanic Student Percentage Comparison Over Years (2019-2023),Black Student Percentage Comparison Over Years (2019-2023),White Student Percentage Comparison Over Years (2019-2023),Diversity Score Comparison Over Years (2019-2023),Free Lunch Eligibility Comparison Over Years (2019-2023)

This study includes the federal graduation rate for all NCAA member institutions who participated in Division I or Division II sports. It also describes the Graduation Success Rate (GSR) for all Division I institutions and the Academic Success Rate (ASR) of all Division II institutions. The rates included in this study are based on championship sport student-athletes who first began their full-time postsecondary education in academic years 1995-96 through 2008-09.Each cohort was tracked for 6 years for college completion. For example, the graduation status for the latest cohort (2008-09 cohort) was tracked through the spring of 2014. At their core, all three measures are based on a comparison of the number of students who entered a college or university in a given year and the number of those who graduated within six years of their initial enrollment, though each measure has a slightly different cohort definition. Federal graduation rates are based on the Integrated Postsecondary Education Data System Graduation Rates (IPEDS-GRS) which is defined as a six-year proportion of those student-athletes who graduated versus those who entered an institution on institutional aid. Federal graduation rates are included for both an institution's student-athletes and its general student body. In addition to the student-athlete data in the graduation-rates data, the Division I Graduation Success Rate (GSR) accounts for student-athletes who transfer into an institution while discounting student-athletes who separate from the institution and would have been academically eligible to compete had they returned. The definition of the Division II Academic Success Rate (ASR) cohort is identical to that of the GSR with the exception that it also includes freshmen who did not receive athletics aid, but did participate in athletics. Datasets: DS0: Study-Level Files DS1: Division I National Aggregation Overall DS2: Division I National Aggregation Student-Athletes DS3: Division I National Aggregation Student Body DS4: Division I School Student-Athletes and Student Body DS5: Division I Squad Level Graduation Success Rate DS6: Division II National Aggregation Overall DS7: Division II National Aggregation Student-Athletes DS8: Division II National Aggregation Student Body DS9: Division II School Student-Athletes and Student Body DS10: Division II Squad Level Academic Success Rate Population of student-athletes and NCAA member institutions who participated in Division I or Division II athletics from 1995-2008. Presence of Common Scales: federal graduation rate graduation success rate academic success rate record abstracts

Currently in the United States, college athletes are not paid for their performance. During a survey in the United States in 2023, around ** percent of male respondents stated that they believed student athletes should be paid for their sport. Meanwhile, ** percent of female respondents did not believe student athletes should be paid.

Financial overview and grant giving statistics of Shadow Student Athlete Development Services Inc.

The National Collegiate Athletic Association, or NCAA, is an American sports association that organizes different sports programs for many schools and universities in United States. Its headquarters are located in Indianapolis, Indiana. The NCAA is the largest university sports organization in the world and, due to the great popularity of university sports with fans in the United States, it occupies a prominent place in the American sports scene. During a November 2019 survey, ** percent of African American NCAA student-athletes in the United States strongly agreed with the sentiment that their professors in college cared about them as a person.

Financial overview and grant giving statistics of Student Athlete Foundation Of Kansas City

College sports are very popular in the United States and the championships are organized in divisions around different sports sanctioned mainly by the NCAA, the largest college sports organization. In 2022, an estimated **** percent of male student athletes in United States were white, while **** percent were African American.

Financial overview and grant giving statistics of Student Athletes for Educational Opportunities

Financial overview and grant giving statistics of National Association of Academic & Student Athlete Development Profes

Three psychological skill profiles were found among athletes in each of the three NCAA Divisions. They revealed significant differences in the amounts of psychological practices in Divisions I and II and precompetition anxiety in all three divisions. Findings suggest that psychological practice is related to more adaptive psychological skill profiles.

This is a student athlete data set.

ABSTRACT Introduction The assessment of motor performance in students has been used to identify sports talents. However, there are few studies on this topic, and none in the Sistema Colégio Militar do Brasil (Brazilian Military College System). Objective To evaluate anthropometric, physical motor and maturational indicators, investigate the proportion of motor talents, analyze the relationship between motor talent diagnosis and maturational stage, and compare the profile of student-athletes and non-athlete students of a military college. Methods We assessed 1490 students of both sexes aged 11 to 17 years. A multidimensional battery of tests was applied to assess body size and composition, flexibility, handgrip strength, upper and lower limb explosive strength, velocity, aerobic endurance, and somatic maturation. Data were analyzed using the Chi-square test and analysis of covariance. Results Students showed greater body size, higher motor performance and slightly advanced biological maturation in comparison to data available in the literature. In addition, cut-off points were created for eight sports-related tests to identify students with significantly above-average results, with 11% of motor talents being found. It was also found that motor talents were more frequent in biologically advanced students, and that student-athletes had significant differences in comparison to non-athletes, mainly in terms of motor performance. Conclusion The military school students are larger, stronger, more resistant and more biologically mature when compared to the reference values in the literature, and these characteristics are accentuated in student-athletes. In addition, approximately 1 in 10 of the military college students can be considered a motor talent, and this diagnosis is more frequent in students with early maturation. Level of Evidence II; Diagnostic Study.

Financial overview and grant giving statistics of John J Quinn Student Athlete Foundation

This is a student athlete data set.

The database contains the physical characteristics and athletic performance of middle school students between the ages of 11 and 19. The data includes age, sex, weight, height, BMI, sprint and long jump performance. This database can be used for a number of research purposes: analysis of student performance, physical characteristics of adolescents, application of artificial intelligence in sport, etc.

Market Overview The global sports analytics market is projected to grow from $2.87 billion in 2023 to $49.68 billion by 2033, exhibiting a robust CAGR of 30.04%. This surge is attributed to the rising demand for data-driven insights to enhance player performance, optimize team strategies, and engage fans. The growing adoption of advanced technologies such as AI, machine learning, and data visualization tools is fueling market expansion. Additionally, increased investment by sports organizations and the proliferation of sports betting are driving market growth. Key Market Segments and Trends The market is segmented by sport, including football, cricket, hockey, basketball, American football, and other sports. Football holds a dominant share due to its global popularity and the availability of extensive data. Furthermore, the growing trend towards personalization and customization of sports content is driving demand for player-based and team-specific analytics. Emerging companies are playing a significant role in market innovation, introducing cutting-edge solutions and expanding the scope of sports analytics. Prominent players in the market include SAS Institute Inc., Catapult Group International Ltd., Trumedia Networks, IBM Corporation, Stats LLC, Opta Sports, Tableau Software Inc., Oracle Corporation, Sportsradar AG, and SAP SE. The global sports analytics market size was valued at USD 1,466.7 million in 2021 and is projected to grow from USD 1,763.4 million in 2022 to USD 5,649.1 million by 2029, exhibiting a CAGR of 17.9% during the forecast period. The market is driven by the increasing adoption of analytics in sports to improve performance, identify new talents, and enhance fan engagement. Recent developments include: October 2023, Texas A&M Athletics Sports Science announced that it has entered into an arrangement with Gemini Sports Analytics to offer the Aggies' staff Gemini’s AI software platform built-for sports that is projected to empower the Aggies to access prognostic analytics in addition to metrics to aid support student-athletes. The Gemini application authorizes stakeholders by offering predictive data analytics to the end users, cumulative interdisciplinary professionals' efficiency, and permitting high-level decision-makers to make game-changing choices faster., February 2023: Gemini Sports Analytics is an AI and Automated Machine learning tool, and SIS (Sports Info Solutions) announced a partnership to pre-integrate SIS data into the Gemini app. Along with the data integration, the two companies would leverage their complementary offerings and develop solutions for their current and future clients. Gemini's mission is to make it faster and easier for sports organizations across the globe to use predictive analytics in their decision-making processes around recruitment, player development, personnel, health and performance, and other management choices.. Key drivers for this market are: Rising Adoption of Big Data Analytics, AI and ML Technologies, Increase in Investments in the Newer Technologies. Potential restraints include: Lack of Awareness About the Benefits of Sports Analytics Solutions. Notable trends are: Football Sport is Expected to Hold Significant Market Share.